THIS STORY HAS BEEN APPROVED BY THE CUSTOMER FOR EXTERNAL PUBLICATION. PLEASE FEEL FREE TO SHARE! Read it here: jmp.com/adisseo. The recording is also available on JMP YouTube.
Optimizing animal feed solutions through data-driven insight
We’re excited to share our new customer success story featuring Adisseo, a global leader in animal nutrition. Their experience using JMP offers great insights into how data-driven tools can impact R&D, cost efficiency, and client value.
Video summary
Adisseo’s animal nutrition experts use JMP to analyze data from feed trials, vitamin/amino‑acid formulations, antioxidants, and enzymes. They leverage JMP Journals for traceability—capturing each step, chart, and model so experiments are reproducible and sharable.
Key tool capabilities highlighted: Design of Experiments (DOE), Profiler, Graph Builder, regression and dose‑response modeling. There is emphasis on JMP’s visual, code‑free interface that makes insights accessible to both technical colleagues and clients.
Key takeaways
- Standardized workflows: Journals ensure consistent methods and complete experiment traceability.
- Efficiency gains: JMP reduced sampling needs—lowering labor, material use, and experimentation costs.
- Client impact: Data visualizations clearly demonstrate product advantages and guide optimized dosage levels.
Return on investment
- Reduced experimental costs
- Faster R&D cycles
- Improved client feed economics: Since feed comprises ~70% of client costs, optimizing enzyme dosage supports better digestibility and cost reduction.
- Enhanced collaboration: Visual outputs speed up internal and external communication, which supports faster decision-making.
Customer quotes
Barbara Mallmann, Quality of Animal Production Expert, Adisseo:
- “Why do we use JMP every day? Because it's a robust tool and really easy to communicate with colleagues and clients, since it's really visual and you can see the results in front of you, without any coding.”
- “We are standardizing everybody to do the same. There's a reason that we are using journals to have a traceability of what we do. JMP can improve in decreasing the sampling. Basically, when we do our experimentation, we don't need to do so many samples. This reduces the time of our workers and also reduces the cost of the experimentation.”
